Ellen D. Zhong
Ellen Zhong is a computer scientist whose AI research helps researchers reconstruct protein structures from cryo-EM images. She studied protein folding at Virginia and coauthored cryoDRGN, a neural method for reconstructing protein structures from microscopy data. She joined Princeton’s computer science faculty in 2022, then coauthored the AlphaFold 3 and CryoDRGN-AI papers. Her work earned her a 2025 NIH Director’s New Innovator Award and a 2025 Eric and Wendy Schmidt Transformative Technology Fund award announced by January 2026; as of October 2026, she leads her lab at Princeton and is Professor in Residence at Generate Biomedicines.
- Now at
- Princeton University and Generate:Biomedicines
- Works
- 93
- Citations
- 18,299
- h-index
- 18
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2011
Protein folding at Virginia
In 2011, as a chemical engineering undergraduate at the University of Virginia, she works with Professor Michael Shirts to simulate how proteins fold and unfold.
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2019–2021
CryoDRGN for protein motion
In 2019, she coauthors a preprint introducing cryoDRGN, a neural method for reconstructing continuous 3D protein density distributions from cryo-EM images. Nature Methods publishes the paper in 2021.
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2022
MIT doctorate and Princeton faculty
She completes her Ph.D. at MIT and joins Princeton’s computer science faculty in 2022. Before Princeton, she works as a scientific programmer at D. E. Shaw Research and interns at DeepMind on the AlphaFold team.
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2024
AlphaFold 3 coauthorship
She coauthors Nature’s 2024 paper on AlphaFold 3, which describes a diffusion-based model for predicting joint structures across biomolecular complexes.
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2025
Reconstructing with CryoDRGN-AI
In 2025, she coauthors Nature Methods’ CryoDRGN-AI, a paper on neural ab initio reconstruction of challenging cryo-EM and cryo-ET datasets.
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October 2025
An NIH New Innovator Award
In October 2025, she receives the NIH Director’s New Innovator Award for work on AI and machine-learning tools for cryo-EM and cryo-ET image processing.
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By January 2026
AI for small-molecule structures
By January 2026, she has been selected for a 2025 Eric and Wendy Schmidt Transformative Technology Fund award for a project with chemistry professor Mohammad Seyedsayamdost. The project aims to use AI to automate structure determination for small molecules from nuclear magnetic resonance (NMR) spectral analysis.
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As of October 2026
Princeton and Generate Biomedicines
She is an assistant professor of computer science at Princeton, where she leads the E.Z. Lab for Molecular Machine Learning. She is also Professor in Residence at Generate Biomedicines.
Career
- NowPrinceton UniversityAssistant Professor of Computer Science, Lead, E.Z. Lab for Molecular Machine Learning
- NowGenerate:BiomedicinesProfessor in Residence
- D. E. Shaw ResearchScientific Programmer
- Google DeepMindIntern, AlphaFold team
Education
- 2022Massachusetts Institute of TechnologyPh.D.
- University of VirginiaUndergraduate student
Sources and credits
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- The power of two
- Reconstructing continuous distributions of 3D protein structure from cryo-EM images
- CryoDRGN: Reconstruction of heterogeneous cryo-EM structures using neural networks
- Ellen Zhong wins NIH New Innovator Award
- Ellen Zhong
- Accurate structure prediction of biomolecular interactions with AlphaFold 3
- CryoDRGN-AI: neural ab initio reconstruction of challenging cryo-EM and cryo-ET datasets
- Ellen Zhong selected for 2025 Schmidt Transformative Technology Fund award
- Ellen D. Zhong

